"Hybridization of model-specific and model-agnostic methods for ..."

Tina Danesh et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.COMPCHEMENG.2023.108306

access: closed

type: Journal Article

metadata version: 2025-07-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cce/DaneshOFN23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cce/DaneshOFN23
Tina Danesh, Rachid Ouaret, Pascal Floquet, Stéphane Negny:
Hybridization of model-specific and model-agnostic methods for interpretability of Neural network predictions: Application to a power plant. Comput. Chem. Eng. 176: 108306 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.